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Tools to manage Astronomical Cloudy photoionization code

Project Description

PyCloudy is a Python library to deal with input and output files of Cloudy (Gary Ferland) photoionization code. Is also allows to generate 3D nebula from various runs of the 1D Cloudy code.

Requirements

You will need to have installed Cloudy . PyCloudy uses numpy and other standard python libraries.

Installation

You may find useful to download, install and upgrade pyCloudy using pip .

For example:

  • pip install pyCloudy

Updates use the same command. You can also use

  • easy_install pyCloudy

To use the devel package (at your own risks!!!):

  • pip install -U git+https://github.com/Morisset/pyCloudy.git

Warranty

PyCloudy is provided as it is. No Warranty at all, you cannot complain if it runs models which are not fitting your data! :-)

Manual

  • There is no manual for now… There will soon be a HowTo page.
  • But… there is some examples of use in the pyCloudy home page .
  • And the reference manual is accessible from this site HERE .

Acknowledgements

This project is partly supported by grants DGAPA/PAPIIT-107215 and CONACyT-CB2015-254132.

Release history Release notifications

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Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
pyCloudy-0.9.6.tar.gz (77.2 kB) Copy SHA256 hash SHA256 Source None Apr 19, 2018

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